Federated Learning offers an innovative solution by enabling collaborative learning from distributed data without centralization. This approach effectively enhances machine performance, preserves data privacy, and promotes efficient knowledge sharing among decentralized participants. In this article, we delve into the fundamentals of federated learning, its functionality, and real-world success stories.
